all-about-LLMs
Practical, code-first LLM tutorials covering pretrained inference, embeddings, RAG, LoRA and full fine-tuning, dataset evaluation, and training a small language model from scratch with PyTorch and Hugging Face.
Every lesson is a plain Python script. The scripts print the input data, important intermediate values, model output, and generated artifact paths. Comments explain the main concepts and the effect of important parameters.
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